When (not) to use ChatGPT

While ChatGPT is a powerful language model that can offer many benefits, it's important to acknowledge its limitations and potential risks, especially when it comes to accuracy, verification, and sensitivity.

Here are some reasons why ChatGPT may not be safe to use if you require accurate results or verifiable response quality

?Inherent bias and error: ChatGPT's responses are generated based on statistical patterns and previous data, which can introduce bias, errors, or inconsistencies. This means that its results may not be 100% accurate or reliable, especially in complex or ambiguous situations.

? Lack of transparency and accountability: ChatGPT's algorithms and decision-making processes are opaque and hard to audit or explain, which can make it difficult to verify the quality or correctness of its responses. This is particularly problematic when dealing with sensitive data or high-stakes decisions.

?Potential security and privacy risks: ChatGPT's access to data and ability to generate content can pose security and privacy risks, especially if it's not properly configured, monitored, or secured. This can result in data leaks, breaches, or misuse that can harm individuals or organizations.

That said, there are some situations where ChatGPT may still be useful

?Ownership of the content is not required: ChatGPT can generate content that doesn't need to be attributed or owned by specific individuals or organizations, such as chatbot conversations, news summaries, or social media posts.

?Limited response quality is acceptable: ChatGPT can provide quick and simple answers or suggestions to common questions or tasks, such as booking a flight, ordering food, or finding directions. In these cases, the accuracy or verification of the responses may not be critical.

?Sensitive data is not involved: ChatGPT can work with non-sensitive or anonymized data, such as weather forecasts, stock prices, or product reviews. However, if sensitive data is involved, such as health records, financial information, or personal details, the risks and limitations of ChatGPT should be carefully evaluated and mitigated.

Forecasting development of LLMs

In the near future, I anticipate the availability of more specialized LLMs that cater to specific fields of expertise and have a more focused application. With the use of training data from these particular domains, the quality of the responses is likely to improve, making them more practical and effective.

Conclusion

In conclusion, while ChatGPT can be a useful tool in some contexts, it's important to be aware of its limitations and potential risks, and to use it responsibly and ethically. As Data Governance specialists, we should always prioritize accuracy, transparency, and privacy when dealing with data, and not rely solely on automated or AI-based solutions.

?? Source: Datacamp &?https://lnkd.in/eB_MFUQv